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Seeded Ising Model and Distributed Biometric Template Storage and Matching.
Choi, Hyeong In; Lee, Sungjin; Moon, Hwan Pyo; Wee, Nam-Sook; Kim, Daehoon; Kwon, Song-Hwa.
Afiliación
  • Choi HI; Department of Mathematics, Seoul National University, Seoul 08826, Korea.
  • Lee S; iSciLab Corporation, Seoul 08791, Korea.
  • Moon HP; Department of Mathematics, Daejin University, Pocheon 11159, Korea.
  • Wee NS; Department of Mathematics, Dongguk University-Seoul, Seoul 04620, Korea.
  • Kim D; Division of Smart Management, Hansung University, Seoul 02876, Korea.
  • Kwon SH; IriTech, Inc., Fairfax, VA 22030, USA.
Entropy (Basel) ; 23(7)2021 Jul 01.
Article en En | MEDLINE | ID: mdl-34356389
ABSTRACT
It is known that a variant of Ising model, called Seeded Ising Model, can be used to recover the information content of a biometric template from a fraction of information therein. The method consists in reconstructing the whole template, which is called the intruder template in this paper, using only a small portion of the given template, a partial template. This reconstruction method may pose a security threat to the integrity of a biometric identity management system. In this paper, based on the Seeded Ising Model, we present a systematic analysis of the possible security breach and its probability of accepting the intruder templates as genuine. Detailed statistical experiments on the intruder match rate are also conducted under various scenarios. In particular, we study (1) how best a template is divided into several small pieces called partial templates, each of which is to be stored in a separate silo; (2) how to do the matching by comparing partial templates in the locked-up silos, and letting only the results of these intra-silo comparisons be sent to the central tallying server for final scoring without requiring the whole templates in one location at any time.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article